Real-Coding-GA

说明：  003小波变换及其MATLAB工具的应用(003 DWT and MATLAB application tools)

The acdc algorithm for finding the approximate general (non-orthogonal) joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.

本书介绍了小波变换在地震资料处理中的应用，并介绍了MATLAB工具箱(This book introduces the application of wavelet transform in seismic data processing, and introduces the MATLAB toolbox )

cdma的matlab仿真程序，包含详细的实现过程和程序，不可多得(cdma the matlab simulation program, including the realization of detailed processes and procedures, rare)

这是一个用于雷达仿真的图像处理Matlab程序,希望它能对你有所帮助.(This is a radar simulation for the Matlab image processing procedures in the hope that it will be helpful to you.)

里面包含emd工具包HHT工具包eemd工具包，还有eemd边际谱算法，已经试验过可以用的(Emd kit which contains HHT kit eemd kit, there eemd marginal spectrum algorithm has been tested can be used)

Diagonal Stability Paper

用来求解非线性系统周期解的打靶法，程序简单易学。(The shooting method is used to solve the nonlinear system, periodic solution, the program easy to learn.)

C# code for software engineer and student who want to learn

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )